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What's Behind the Figures? Quantifying the Cross-Country Exporter Productivity Gap

Author

Listed:
  • Kozo Kiyota

    (Keio Economic Observatory, Keio University)

  • Toshiyuki Matsuura

    (Keio Economic Observatory, Keio University)

  • Lionel Nesta

    (Université Côte d'Azur
    GREDEG CNRS
    OFCE Sciences Po.
    SKEMA Business School)

Abstract

We present a simple framework that allows us to examine the cross-country exporter productivity gap without accessing confidential firm-level data. This gap depends on the three readily available statistics: the productivity gap between two countries; the export participation rates; and export premia. This gap holds irrespective of the data generating process and independent of sunk costs of entering domestic markets. Under specific conditions, allocative efficiency may affect the exporter productivity gap. Additional assumptions on the log-normality of the productivity distribution of firms allow one to recover the export threshold and heterogeneity parameters. The empirical analysis globally validates this exercise.

Suggested Citation

  • Kozo Kiyota & Toshiyuki Matsuura & Lionel Nesta, 2017. "What's Behind the Figures? Quantifying the Cross-Country Exporter Productivity Gap," GREDEG Working Papers 2017-33, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), University of Nice Sophia Antipolis.
  • Handle: RePEc:gre:wpaper:2017-33
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    References listed on IDEAS

    as
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    Cited by:

    1. Kozo Kiyota & Toshiyuki Matsuura & Lionel Nesta, 2017. "What's Behind the Figures? Quantifying the Cross-Country Exporter Productivity Gap," GREDEG Working Papers 2017-33, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), University of Nice Sophia Antipolis.

    More about this item

    Keywords

    International productivity gap; Export premia; Competitiveness; Meta analysis;

    JEL classification:

    • F1 - International Economics - - Trade
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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